Improving prediction from dirichlet process mixtures via enrichment. - Sara Wade; David B. Dunson; Sonia Petrone; Lorenzo Trippa (J. Mach. Learn. Res., 2014)

Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models. - Charles W. L. Gadd; Sara Wade; Akeel A. Shah; Dimitris Grammatopoulos (CoRR, 2018)

Enriched Mixtures of Gaussian Process Experts. - Charles W. L. Gadd; Sara Wade; Alexis Boukouvalas (CoRR, 2019)

Enriched mixtures of generalised Gaussian process experts. - Charles W. L. Gadd; Sara Wade; Alexis Boukouvalas (AISTATS, 2020)

Ultra-fast Deep Mixtures of Gaussian Process Experts. - Clement Etienam; Kody J. H. Law; Sara Wade (CoRR, 2020)

Posterior inference for sparse hierarchical non-stationary models. - Karla Monterrubio-Gómez; Lassi Roininen; Sara Wade; Theodoros Damoulas; Mark Girolami (Comput. Stat. Data Anal., 2020)

Machine learning in the social and health sciences. - Anja K. Leist; Matthias Klee; Jung Hyun Kim; David H. Rehkopf; Stéphane P. A. Bordas; Graciela Muniz-Terrera; Sara Wade (CoRR, 2021)

Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data. - Weichang Yu 001; Sara Wade; Howard D. Bondell; Lamiae Azizi (CoRR, 2021)

Pseudo-marginal Bayesian inference for Gaussian process latent variable models. - Charles W. L. Gadd; Sara Wade; Akeel A. Shah (Mach. Learn., 2021)

Mixtures of Gaussian Process Experts with SMC2. - Teemu Härkönen; Sara Wade; Kody J. H. Law; Lassi Roininen (CoRR, 2022)

Leveraging Variational Autoencoders for Multiple Data Imputation. - Breeshey Roskams-Hieter; Jude Wells; Sara Wade (ECML/PKDD (1), 2023)

Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data. - Weichang Yu 001; Sara Wade; Howard D. Bondell; Lamiae Azizi (J. Comput. Graph. Stat., 2023)

Variational Bayesian Bow tie Neural Networks with Shrinkage. - Alisa Sheinkman; Sara Wade (CoRR, 2024)

Fast deep mixtures of Gaussian process experts. - Clement Etienam; Kody J. H. Law; Sara Wade; Vitaly Zankin (Mach. Learn., 2024)

The Architecture and Evaluation of Bayesian Neural Networks. - Alisa Sheinkman; Sara Wade (CoRR, 2025)